In one example, method includes receiving an electrophysiological (EP) map of at least a portion of a surface of a cardiac chamber, the EP map including multiple EP values overlayed at multiple respective positions on the surface. A clinical input is identified, that was marked on the EP map by a user using an input device. One or more of the EP values are automatically adjusted to be consistent with the clinical input.

A system and method for atrial fibrillation detection in non-noise ECG data with the aid of a digital computer are provided. Electrocardiography (ECG) features and annotated patterns of the features are maintained in a database, at least some of the patterns associated with atrial fibrillation. A classifier is trained based on the annotated patterns, the classifier implemented by a convolutional neural network. A representation of an ECG signal recorded by one or more ambulatory monitors is received. Noise is detected in the representations and ECG features in the representation falling within each of the non-noise temporal windows are detected. The trained classifier is used to identify patterns of the ECG features. A value indicative of whether portions of the representation are associated the patient experiencing atrial fibrillation is calculated. That one or more of the portions are associated with the patient experiencing atrial fibrillation is determined.

The present invention is directed to a system for monitoring a physiological parameter of a cyclist, and methods of using the system. The system comprises a garment, a sensor, and a signal processor. The garment is configured to be worn by the cyclist. The sensor is fixedly coupled to the garment and configured to measure a signal representative of the physiological parameter during pedaling. The signal processor is operatively coupled to the sensor and configured to determine a diagnosis based on the measured signal. An alert is generated in response to the diagnosis substantially in real time.

In an example, a method includes receiving a cardiac signal that is sensed by an electrode at a tissue location inside the heart. Fractionations are identified in the cardiac signal. The fractionations identified at the tissue location are compared between first and second cardiac cycles of the cardiac signal. Based on the comparing, a likelihood is estimated, that the tissue location is causing a stable arrhythmia. Based on the estimated likelihood, the tissue location is indicated to a user as likely to be causing the stable arrhythmia.

Various embodiments provide systems and methods for identifying impairment using measurement devices.

A system for remote motor and sensory function testing may involve use of patent and clinician computing devices, a patient testing device, and a clinician control device. A Remote Testing System (RTS) may coordinate displays of information among the devices in support of a test. A clinician or the RTS may cause display of instructions for guiding a patient in using the patient testing device. A clinician may receive feedback from the patient's interaction during the test session, or during a later session. The clinician control device may be used to control functioning of the patient testing device, in support of the test. The clinician control device may provide haptic or other feedback during the test session or during a later session. The system may track patient performance across multiple sessions and initiate follow-up test sessions as a result of data gathered in one or more prior test sessions.

The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.

To suppress variation of a distribution of radiated light depending on a position of a radiating unit in an information acquisition apparatus that uses an articulated arm as a waveguide unit. A waveguide unit (103) includes a plurality of first waveguides (103c), (103g), and (103k) that guide light in a direction parallel to a radiating direction in which the light is radiated from a radiating unit (105) to an object (123), at least one of second waveguides (103a), (103e), and (103i) that guides the light in an in-plane direction perpendicular to the radiating direction, and a plurality of articulations that each include therein a mirror disposed so as to substantially perpendicularly bend a wave guiding direction. The light is guided through the plurality of first waveguides (103c), (103g), and (103k) in the same wave guiding direction.

A system including a thermal sensor with an instrument placed in a volume. The thermal sensor may be useful in determining a temperature at a surface of the instrument and a distance away from the instrument. A therapy may be performed based on a sensed temperature with the thermal sensors.